Reshapes a SparseTensor to represent values in a new dense shape.
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Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.SparseReshape(
input_indices, input_shape, new_shape, name=None
)
This operation has the same semantics as reshape on the represented dense
tensor. The input_indices
are recomputed based on the requested new_shape
.
If one component of new_shape
is the special value -1, the size of that
dimension is computed so that the total dense size remains constant. At
most one component of new_shape
can be -1. The number of dense elements
implied by new_shape
must be the same as the number of dense elements
originally implied by input_shape
.
Reshaping does not affect the order of values in the SparseTensor.
If the input tensor has rank R_in
and N
non-empty values, and new_shape
has length R_out
, then input_indices
has shape [N, R_in]
,
input_shape
has length R_in
, output_indices
has shape [N, R_out]
, and
output_shape
has length R_out
.